Quora
Senior Machine Learning Engineer, Ranking - Quora (Remote)
$190K–$275K
Remote - Multiple Locations +4 · Remote · Senior · Full-time · Posted Oct 8, 2026
- Location
- Remote - Multiple Locations
United States
Ireland
Canada
& 13 other countries - Experience
- 3+ years working on recommendation or ranking models; preferred: 5+ years writing Python or C++ code.
- Education
- BS, MS, or PhD in Computer Science, Engineering, or a related technical field.
- Visa sponsorship
- Quora states the role is available remotely from multiple countries; employment eligibility depends on country. See its eligible-countries page for details.
About the job
Own and improve Quora’s feed and digest ranking models and the end-to-end machine learning systems that power recommendations.
What you'll do
- Improve existing machine learning ranking models and develop methodologies for other engineers to build on.
- Own ML systems end to end, including data pipelines, candidate extraction, feature engineering, model training, and production integration.
- Identify new product applications for machine learning and collaborate with other ML engineers to implement algorithms and systems.
What they ask for
- 3+ years of professional experience working on recommendation or ranking models.
- Good understanding of the mathematical foundations of machine learning algorithms and previous experience building end-to-end ML systems.
- BS, MS, or PhD in Computer Science, Engineering, or a related technical field.
- Availability for meetings and impromptu communication during coordination hours, Monday–Friday, 9am–3pm Pacific Time.
Nice to have
- 5+ years writing Python or C++ code.
- Experience with generative recommendation systems, user behavior or sequence modeling, transformers, long-sequence modeling applied to ranking, or leading large-scale multi-engineer projects.
Pay
$189,507 - $274,604 USD base salary; $243,330 - $282,076 CAD base salary; $227,108 - $263,271 CAD base salary
Tools
Python, C++, transformers
AI focus
Develop and improve machine learning ranking and recommendation systems for Quora’s feed and digest; work spans data pipelines, candidate extraction, feature engineering, model training, and production integration.
Model-written summary · the original posting is authoritative